Virtual disturbance feedback tuning

被引：17

作者：

Eckhard, Diego ^{[1
]}

Campestrini, Luciola ^{[2
]}

Boeira, Emerson Christ ^{[2
]}

机构：

[1] Univ Fed Rio Grande do Sul, Dept Matemat Pura & Aplicada, Porto Alegre, RS, Brazil

[2] Univ Fed Rio Grande do Sul, Dept Sistemas Eletr Automacao & Energia, Porto Alegre, Brazil

来源：

IFAC JOURNAL OF SYSTEMS AND CONTROL | 2018年 / 3卷

关键词：

Data-driven control; PID Control; Disturbance rejection; Disturbance model; VRFT;

D O I：

10.1016/j.ifacsc.2018.01.003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a data-driven control method formulated for the disturbance rejection problem. Inspired on the Virtual Reference Feedback Tuning method, which is based on a tracking reference model, the proposed methodology, entitled Virtual Disturbance Feedback Tuning, is based on a disturbance model. Using only input/output data collected on the process (no process model) and a linearly parameterized controller, the optimal controller is obtained through least squares, resulting in a closed loop system as close as possible to the disturbance model. Experimental results show the efficiency of the proposed methodology. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：23 / 29

页数：7

共 24 条

[1] Iterative minimization of H2 control performance criteria [J].

Bazanella, Alexandre S. ;

Gevers, Michel ;

Miskovic, Ljubisa ;

Anderson, Brian D. O. .

AUTOMATICA, 2008, 44 (10) :2549-2559

[2]

Bazanella AS, 2012, COMMUN CONTROL ENG, P1, DOI 10.1007/978-94-007-2300-9

[3] Data-driven model reference control design by prediction error identification [J].

Campestrini, Luciola ;

Eckhard, Diego ;

Bazanella, Alexandre Sanfelice ;

Gevers, Michel .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (06) :2628-2647

[4] Unbiased MIMO VRFT with application to process control [J].

Campestrini, Luciola ;

Eckhard, Diego ;

Chia, Lydia Andrea ;

Boeira, Emerson .

JOURNAL OF PROCESS CONTROL, 2016, 39 :35-49

[5] An application of the virtual reference feedback tuning method to a benchmark problem [J].

Campi, MC ;

Lecchini, A ;

Savaresi, SM .

EUROPEAN JOURNAL OF CONTROL, 2003, 9 (01) :66-76

[6] Virtual reference feedback tuning: a direct method for the design of feedback controllers [J].

Campi, MC ;

Lecchini, A ;

Savaresi, SM .

AUTOMATICA, 2002, 38 (08) :1337-1346

[7]

Corleta Andre, 2016, 2016 IEEE Conference on Control Applications (CCA), P1312, DOI 10.1109/CCA.2016.7587988

[8] A Data-Driven Approach to Mixed-Sensitivity Control With Application to an Active Suspension System [J].

Formentin, Simone ;

Karimi, Alireza .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (04) :2293-2300

[9] Data-Driven Design of Braking Control Systems [J].

Formentin, Simone ;

De Filippi, Pierpaolo ;

Corno, Matteo ;

Tanelli, Mara ;

Savaresi, Sergio M. .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (01) :186-193

[10]

Guardabassi G. O., 1997, 1997 European Control Conference (ECC), P382

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